Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
_11_50 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
successful_world_cup is a sports game	1111	06-jul-2018	99.9
vino_santo is a wine	1111	06-jul-2018	92.2
rita_jackson is a North American person	1111	06-jul-2018	91.3
eastern_congo is a country	1111	06-jul-2018	97.4
european_countries is a generalization of finland	1116	12-sep-2018	97.1
kxjz is a radio station in the city sacramento	1116	12-sep-2018	99.2
terry001 is an athlete who injured his/her hand	1115	03-sep-2018	100.0
standard_chartered is a company that has an office in the country china	1114	25-aug-2018	93.8
rick_vandenhurk is an athlete that flied out to position center	1111	06-jul-2018	100.0